Triple
T13248703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Wickham railway station |
E315470
|
entity |
| Predicate | hasCIS |
P49832
|
FINISHED |
| Object | digital departure boards |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: digital departure boards | Statement: [West Wickham railway station, hasCIS, digital departure boards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCIS Context triple: [West Wickham railway station, hasCIS, digital departure boards]
-
A.
hasCISDisplays
chosen
Indicates that an entity is equipped with or includes CIS (Customer Information System) display units.
-
B.
CISStatus
Indicates the compliance or certification status of an entity with respect to CIS (Center for Internet Security) benchmarks or standards.
-
C.
hasCAS
Indicates that an entity is associated with a specific Chemical Abstracts Service (CAS) registry number identifying it as a distinct chemical substance.
-
D.
hasCIWS
Indicates that an entity is equipped with or possesses a Close-In Weapon System (CIWS) for short-range defensive engagement.
-
E.
hasCP
Indicates that an entity possesses, is associated with, or is characterized by a specific CP (such as a control point, contact person, or configuration parameter), depending on the domain context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d9e7ea881908abc4b3a54896692 |
completed | April 10, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69d98bcca7d88190a3e68e99ed3a29e6 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:24 p.m.